帮我debug：package org.zkpk.lab import org.apache.spark.SparkContext import org.apache.spark.SparkConf import org.apache.spark.rdd.RDD import org.apache.spark.sql.SQLContext object sale_drug { case class Sale(date:String,cardId:Int,productId:Int,productName:String ,quantity:Int,money:Double,cost:Double) def main(args: Array[String]): Unit = { val conf = new SparkConf().setAppName("Pharmacy Sales Analysis").setMaster("local") val sc = new SparkContext(conf) sc.setLogLevel("ERROR") val sqlContext = new SQLContext(sc) // load data val data = sc.textFile("/home/zkpk/data.txt") // parse data val salesRDD: RDD[Sale] = data.map(line => line.split(" ")).map(arr => Sale(arr(0).toString, arr(1).toInt, arr(2).toInt, arr(3).toString, arr(4).toInt, arr(5).toDouble, arr(6).toDouble)) import sqlContext.implicits._ val df = salesRDD.toDF() val nameMoneyDF = df.select("productName", "money") nameMoneyDF.show() // calculate total sales quantity and revenue } }

在你的代码中，你只是使用了`nameMoneyDF.show()`来展示结果，但是没有进行任何计算。你需要对`nameMoneyDF`进行聚合操作来计算总销售量和总收益。

你可以使用`groupBy`和`agg`函数来进行聚合操作。以下是修改后的代码：

package org.zkpk.lab

import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SQLContext

object sale_drug {
  case class Sale(date:String,cardId:Int,productId:Int,productName:String ,quantity:Int,money:Double,cost:Double)

  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setAppName("Pharmacy Sales Analysis").setMaster("local")
    val sc = new SparkContext(conf)
    sc.setLogLevel("ERROR")
    val sqlContext = new SQLContext(sc)

    // load data
    val data = sc.textFile("/home/zkpk/data.txt")

    // parse data
    val salesRDD: RDD[Sale] = data.map(line => line.split(" ")).map(arr => Sale(arr(0).toString, arr(1).toInt, arr(2).toInt, arr(3).toString, arr(4).toInt, arr(5).toDouble, arr(6).toDouble))

    import sqlContext.implicits._
    val df = salesRDD.toDF()

    val nameMoneyDF = df.select("productName", "money")

    // calculate total sales quantity and revenue
    val totalSales = nameMoneyDF.groupBy("productName").sum("money", "quantity")
    totalSales.show()
  }
}

在修改后的代码中，我们使用了`groupBy`函数对`productName`进行分组，然后使用`sum`函数对`money`和`quantity`进行求和。最后，我们使用`show`函数展示结果。